Principal, Automation Enablement Lead

At GSK, we unite science, technology and talent to get ahead of disease together. We are a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together. We’re proud to be leading a healthcare revolution, and we’re looking for people who can help us deliver on our ambition. The Automation Enablement Lead makes it possible for DPTF (Digital Platforms and Technology Foundations) teams to build AI capability themselves. The role owns the golden pattern library and paved paths teams build against, drives adoption of AI-First delivery practice within DPTF's governed delivery lifecycle, runs the community of practice, and drives the AI skills uplift that turns platform engineers into people who can deliver AI without central support. Platform teams own the outcomes. This role makes those outcomes achievable, and its success is measured by how much AI work happens outside the hub, not inside it. Solution delivery sits with the Director, Automation Engineering / Product Manager. Architectural standards and governance sit with the Director, Automation Platform Architect, and this role packages them into something teams can adopt. Delivery method for DPTF sits with the Senior Principal, Agile CoE, and the governed delivery lifecycle itself is owned through the GSK quality management system. Key Responsibilities • Own the golden pattern library and paved paths for AI delivery across DPTF, publishing the architectural standards set by the Director, Automation Platform Architect in a form platform teams can adopt, so that many teams build in one dialect instead of each inventing its own. • Drive adoption of AI-First delivery practice across platform teams within DPTF's governed delivery lifecycle, so that eval gates, cost governance and provenance controls are inherited by any team using the paved paths. • Drive AI skills uplift across platform engineering, building the capability that removes the need for dedicated AI headcount in every team. • Run the AI community of practice and the associated governance forums, spreading what works between platform teams and surfacing what is not working. • Publish and maintain the pattern library, reference implementations and guidance so that teams can adopt without asking.  • Work with talent and hiring leads so that AI fluency becomes an expectation of new platform engineering hires, not a specialism.  • Coach platform teams through their first AI deliveries, withdrawing support deliberately as their capability matures. • Feed practical experience from platform teams back into the patterns, so standards reflect what works in delivery, not what looks right centrally.  • Translate Enterprise AI standards and Responsible AI policy into patterns and pipeline controls that platform teams can actually apply.  • Measure adoption of patterns, pipeline usage and AI capability across platform teams, and target enablement where uptake is weakest.  • Identify where a capability should become a shared primitive rather than a repeated pattern, and raise it with the Director, Automation Engineering / Product Manager.  • Hold the boundaries with the Director, Automation Engineering / Product Manager on solution delivery and shared primitives, the Director, Automation Platform Architect on architectural standards and governance, the Senior Principal, Agile CoE on DPTF delivery method, AI Ops on production readiness, and the platform teams on their own delivery.  Basic Qualifications • Degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.  • Demonstrated experience in engineering, including hands-on software development, AI or, machine learning delivery experience. • Experience setting patterns